VLDB 2026 Research / reviewers in the wild / expert
Ali M. Keshk
dblp:342/9236
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0001-6122-2342ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | How do developers use type inference: an exploratory study in Kotlin
Samuel W. Flint, Ali M. Keshk, Robert Dyer 0001, Hamid Bagheri |
Empir. Softw. Eng. | 2 |
| 2023 | Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and PythonabstractThere are possible benefits and drawbacks to chaining methods together, as is often done in fluent APIs. A prior study investigated how Java developers chain methods in over 2.7k open-source projects. That study observed, for the dataset analyzed, that the use of method chaining in Java is popular and seems to be increasing over time. That study however was limited to a smaller sample of Java projects, and it is also not clear if the results generalize to other languages. In this work, we first replicate the prior results by building a similar dataset and our own analysis scripts. We then extend those results by analyzing a much larger dataset of 89k Java projects and generalizing to other programming languages by analyzing 26k Kotlin projects and 98k Python projects. The results show chaining is more popular in Java and Kotlin than Python, chaining use in Kotlin is not growing, and Python sees more use in non-testing code. Ali M. Keshk, Robert Dyer 0001 |
MSR | 1 |